nnf_hardshrink

Applies the hard shrinkage function element-wise

Provides functionality to define and train neural networks similar to
'PyTorch' by Paszke et al (2019) <arXiv:1912.01703> but written entirely in R
using the 'libtorch' library. Also supports low-level tensor operations and
'GPU' acceleration.

Daniel Falbel

torch

Tensors and Neural Networks with 'GPU' Acceleration

Javier Luraschi

Dmitriy Selivanov

Athos Damiani

Christophe Regouby

Krzysztof Joachimiak

Hamada S. Badr

 RStudio

nnf_hardshrink function

<dl><dt>input</dt>
<dd>(N,*) tensor, where * means, any number of additional
dimensions</dd>
<dt>lambd</dt>
<dd>the lambda value for the Hardshrink formulation. Default: 0.5</dd></dl>

Arguments

Hardshrink — nnf_hardshrink

<dl>

<dt>input</dt>
<dd>(N,*) tensor, where * means, any number of additional
dimensions</dd>


<dt>lambd</dt>
<dd>the lambda value for the Hardshrink formulation. Default: 0.5</dd>

</dl>

nnf_hardshrink: Hardshrink

Description

Usage

Arguments